Employee Commit Pattern Analysis: Management Summary
Employee Commit Pattern Analysis: Management Summary
Date: October 27, 2025
Dataset: 600 employees across IT (n=376) and Analytics (n=224) divisions
Key Findings
1. The Productivity Paradox
- Tenure correlates with total commits (r=0.53 Analytics, r=0.42 IT)
- BUT: Commits per year DECLINE with tenure
- Junior: ~200 commits/year
- Mid-level: ~350 commits/year
- Senior: ~175 commits/year (despite 10x tenure)
2. Significant Engagement Issues
- 31 employees (5%) have zero commits
- 23 with >1 year tenure
- Concentrated in Analytics (8) and IT (23)
- These are visible in the chart as orange X marks
3. Department Differences
- IT outperforms Analytics in raw commits (1,054 vs 823 avg)
- But productivity patterns similar across both
- Mid-level employees show strongest productivity in both
4. Elite Performers are Rare
- Only 2 employees (0.3%) exceed 2,000 commits/year
- Both are mid-level (1 Data Engineer, 1 Developer)
- Marked as red circles in visualization
Recommendations
Immediate Actions:
- Interview the 23 zero-commit veterans - understand blockers
- Study the 2 high performers - identify best practices
- Review senior role expectations - why is productivity declining?
Strategic Priorities:
- Retention risk: Mid-level (1-5 years) employees are most productive but may leave for senior roles elsewhere
- Onboarding gaps: Junior employees show low activity; likely need better support
- Senior underutilization: Experienced staff may be in too many meetings or management activities
Note: Analysis assumes commits = productivity proxy. May need to consider: code review, mentoring, architecture decisions not captured in commit counts.
Version: v1.0 | Analysis by Claude Sonnet 4.5 | 2025-10-27